Jonathan Prados-Garzon
- Computer Networks and Communications top 2%
- Electrical and Electronic Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Aerospace Engineering
- Biomedical Engineering
- Co-authors
- Pablo AmeigeirasJuan M. López-SolerTarik TalebMiloud BagaaPilar Andrés-MaldonadoJorge Navarro‐OrtizJuan J. Ramos‐MunozPablo Muñoz
- Topics
- Software-Defined Networks and 5G (19 papers)IoT Networks and Protocols (7 papers)Advanced MIMO Systems Optimization (7 papers)
- Cited by
- Computer Networks and CommunicationsElectrical and Electronic EngineeringComputer Vision and Pattern Recognition
- Partner nations
- SpainFinlandSouth Korea
In The Last Decade
Jonathan Prados-Garzon
32 papers receiving 681 citations
Peers
Comparison fields: 5 of 53
- Computer Networks and Communications 506
- Electrical and Electronic Engineering 369
- Computer Vision and Pattern Recognition 93
- Aerospace Engineering 68
- Biomedical Engineering 47
Countries citing papers authored by Jonathan Prados-Garzon
This map shows the geographic impact of Jonathan Prados-Garzon's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jonathan Prados-Garzon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Prados-Garzon more than expected).
Fields of papers citing papers by Jonathan Prados-Garzon
This network shows the impact of papers produced by Jonathan Prados-Garzon. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jonathan Prados-Garzon. The network helps show where Jonathan Prados-Garzon may publish in the future.
Co-authorship network of co-authors of Jonathan Prados-Garzon
This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Prados-Garzon. A scholar is included among the top collaborators of Jonathan Prados-Garzon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jonathan Prados-Garzon. Jonathan Prados-Garzon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 22 | |
| 7 | 36 | |
| 8 | 45 | |
| 9 | 35 | |
| 10 | 4 | |
| 11 | 44 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | 22 | |
| 15 | 4 | |
| 16 | 21 | |
| 17 | 19 | |
| 18 | MME Support for M2M Communications Using Network Function Virtualization | 3 |
| 19 | 50 | |
| 20 | 10 |
About Jonathan Prados-Garzon
Jonathan Prados-Garzon is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 34 papers that have together received 705 indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (19 papers), IoT Networks and Protocols (7 papers) and Advanced MIMO Systems Optimization (7 papers). The work is most often cited by research in Computer Networks and Communications (506 citations), Electrical and Electronic Engineering (369 citations) and Computer Vision and Pattern Recognition (93 citations). Jonathan Prados-Garzon has collaborated with scholars based in Spain, Finland and South Korea. Frequent co-authors include Pablo Ameigeiras, Juan M. López-Soler, Tarik Taleb, Miloud Bagaa, Pilar Andrés-Maldonado, Jorge Navarro‐Ortiz, Juan J. Ramos‐Munoz, Pablo Muñoz, Ibrahim Afolabi and Laurent Schumacher. Their work appears in journals such as IEEE Access, IEEE Communications Magazine and Sensors.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.